Sentence examples for data science capability from inspiring English sources

"Ashutosh and Varun are bringing to talent management the transformative artificial intelligence and data science capability that they brought to Google, YouTube and Facebook.

Because it has an unusually strong community around it, you can find R libraries for almost anything under the sun — making virtually any kind of data science capability accessible without new code.

"We believe that Bluefin's data science capabilities and social TV expertise will help us create innovative new ad products and consumer experiences in the exciting intersection of Twitter and TV," the Twitter chief operating officer, Ali Rowghani, said in a blog post about the deal.

[MetaMind will] extend Salesforce's data science capabilities by embedding deep learning within the Salesforce platform".

It's also going to invest in building awareness as well as its data science capabilities.

The new feature, called "Voice Mode," taps into Pandora's machine learning and data science capabilities, which is an active battleground between music services.

But they don't have any real data science capabilities, so they need help advertise their goods in a way that maximizes profitability.

Asked to elaborate and help me cut through the data bullshit that most startups push these days, Boldt says that Gousto has a centralised data warehouse, with hundreds of real time dashboards to help power its "amazing data science capabilities".

I joined Lightbank just as Uptake (a recently incubated company that leverages IoT and data science capabilities for companies like Caterpillar) was being founded, and it was certainly a deciding factor in joining the firm.

In my opinion, this number is doubly important for Stitch Fix, a company that has continually defined itself by its data science capabilities, under the leadership of Eric Colson, and frequent blogging on their website of their personalization algorithms.

Specifically, the company plans to expand its analytics capabilities and data science practices "to bring richer analytics and benchmarking to its customers," as a company spokesperson told me.